Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems
Gilberto Reynoso-Meza, Javier Sanchis, Xavier Blasco, J.M. Herrero · 2011
In this paper, the results for the CEC 2011 Competition on testing evolutionary algorithms on real world optimization problems using a hybrid differential evolution algorithm are presented. The proposal uses a local search routine to improve convergence and an adaptive crossover operator. According to the obtained results, this algorithm shows to be able to find competitive solutions with reported results.